搜索资源列表
StereoVision实现OpenCV、OpenGL、VS2008混合编程
- 实现OpenCV、OpenGL、VS2008混合编程,输入校正后的图像对,使用立体匹配算法计算其视差图,最后用OpenGL进行三维重建。-Achieve OpenCV, OpenGL, VS2008 hybrid programming, enter the corrected image pairs, the use of stereo matching algorithms to calculate the disparity map, and finally with OpenGL thr
OpenCV-Mean-Shift-demo
- 基于OpenCV实现的图像特征区域跟踪程序,基于类Mean-Shift实现的颜色直方图概率匹配算法,可同时跟踪6个特定目标区域。-OpenCV implementation of image features based on regional tracking program, based on class Mean-Shift probability of achieving the color histogram matching algorithm, which can track a
FaceRecog_src100902
- 基于OpenCV的人脸识别演示程序。目前实现了Gabor+Fisherface算法,还有几何和光照归一化。 -->请到 http://code.google.com/p/facerecog/ 下载最新版本。<-- 功能:对摄像头拍摄的或用户指定的图像,检测其中人脸,然后在已存储的人脸库中找到最匹配的人脸并显示。 在VS 2008 SP1上编写,使用了OpenCV 2.0和MFC,通过消息处理函数与用户进行交互,利用多线程来实时显示图像。 数据处理分为了C
multiple-target-template-match
- 本程序实现对多目标的模板匹配算法,采用OpenCV编写,-cvMatchTemplate OpenCV multiple target template match
Hough_opencv
- 上传一个VC++写的基于Opencv的广义Hough变换匹配算法-From a VC++ to write the generalized Hough transform-based Opencv matching algorithm
SIFT
- SIFT算法实现,更加适合医学图像匹配,更好去掉边缘点,去掉误匹配-this is not original SIFT algorithms,can fit for operation pictures,delete the edge points,reduce the wrong match
SIFT_VC
- 非常快速高效的SIFT特征检测与匹配算法,用C++与OpecCV实现-SIFT features are very fast and efficient detection and matching algorithms, using C++ implementation with OpecCV
PiPei
- 基于VC++6.0开发环境,用OpenCv编程,实现基于投票策略的角点匹配算法!-VC++6.0 based development environment, with OpenCv programming, policy-based voting corner matching algorithm!
area-based-matching
- 一种快速的基于区域的立体匹配算法,英文论文,希望对你有用-A fast region-based stereo matching algorithm, the English papers, you want to be useful
Prosac
- 用opencv2.3.1+vs2008实现PROSAC算法。PROSAC是比ransac算法更快的剔除无匹配算法。前提是,这种策略的前提是假定匹配度高的特征是内点的概率比匹配度低的特征要高。 -With opencv2.3.1+ vs2008 realize PROSAC algorithm. PROSAC is faster than ransac algorithm of eliminate no matching algorithms. Premise is, this strategy
TestSIFTVC6
- OPENCV_SIFT_特征提取_匹配算法-opencv_sift_feature extraction
BM_RANSAC2
- 基于VC6.0和OPENCV的RANSAC块匹配算法-The RANSAC block matching algorithm based on VC6.0 and OPENCV
SIFT-extraction-matching
- 用opencv开发的SIFT特征提取与匹配算法,共大家交流学习,共同进步-Developed with opencv SIFT feature extraction and matching algorithms, a total exchange of learning and common progress
OrbTest
- 最新的图像匹配算法ORB,特征匹配速度比sift提高两个数量级。需要安装opencv2.3.1以上版本。-The latest image matching algorithm ORB
MatchShapes
- 基于七个不变矩的图像匹配算法 能够识别具有一定相似度的图像-a image matching method
SIFT-feature-matching-
- SIFT 特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处 理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种程度上对任意角度拍摄 的图像也具备较为稳定的特征匹配能力。该算法目前外文资料较多,但中文方面的介绍较少。为此 我撰写了这篇文档,以帮助国内的研究学者尽快入门,以最快的速度去体验 特征匹配算法是目前国内外特征点匹配研究领域的热点与难点,其匹配能力较强,可以处 理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题,甚至在某种
模板匹配
- 基于opencv的模板匹配算法,可以从一副大图中搜索出与模板相似度最高的部分(Template matching algorithm based on OpenCV, you can search from a large image of the highest similarity with the template part)
quickly match
- 基于亮度/色彩一致性,在SURF算法的基础上提出了一种快速图像特征点匹配算法,可以缩小特征点匹配所需的运行时间,提高正确匹配率。(Based on the brightness / color consistency, a fast image feature point matching algorithm based on SURF algorithm is proposed, which can reduce the running time of feature point matchi
95_ORB算法描述与匹配
- Opencv+VS C++实现ORB算法(Opencv+VS C++ implements the ORB algorithm.)
ADCensus
- 一种立体匹配算法,ADCensus,使用的是AD 和 Census联合特征的匹配算法(A Stereo Matching Algorithms, named ADCensus, based on AD and Census joint features is used.)